Immunonutrition in ovarian cancer: clinical and immunological impact?

OBJECTIVE: Malnutrition is frequent in ovarian cancer (OC) patients and may compromise post-operative outcomes. The aim of this study is to evaluate the impact of pre-operative immunonutrition on the surgical outcome of OC patients, and on their nutritional, inflammatory and peripheral blood immune status. METHODS: A prospective study was performed between September 2016 and April 2020. Immune-enhancing enteral nutrition was administered to 42 patients before surgery according to their nutritional status assessed by the Malnutritional Universal Screening Tool. Biochemical and hematological monitoring was performed before and after immunonutrition. Post-operative outcomes were assessed and compared with those of a similar group of patients treated without nutritional support. RESULTS: Of the 42 immune-nourished patients, 23 (54.8%) had a low, 11 (26.2%) an intermediate and 8 (19%) a high risk of malnutrition. After the immunonutritional intake, significant variations of prealbumin, creatinine and white blood cells were detected. All T cell populations had an increasing trend, in particular CD3+ T lymphocytes (p=0.020), CD3+CD8+ cytotoxic T lymphocytes (p=0.046) and lymphocyte with HLA-DR expression (p=0.012). The rate of grade II-III post-operative complications was lower (21.4% vs. 42.9%, p=0.035) and the time of hospitalization was shorter (7.5 vs. 9.2, p=0.009) in the immune-nourished group. CONCLUSION: Pre-operative immunonutrition improves the surgical outcome of OC patients. After immunonutrition, an increase of CD3+CD8+ cytotoxic T lymphocytes was observed.

A Clinically Applicable Approach to the Classification of B-Cell Non-Hodgkin Lymphomas with Flow Cytometry and Machine Learning.

The immunophenotype is a key element to classify B-cell Non-Hodgkin Lymphomas (B-NHL); while it is routinely obtained through immunohistochemistry, the use of flow cytometry (FC) could bear several advantages. However, few FC laboratories can rely on a long-standing practical experience, and the literature in support is still limited; as a result, the use of FC is generally restricted to the analysis of lymphomas with bone marrow or peripheral blood involvement. In this work, we applied machine learning to our database of 1465 B-NHL samples from different sources, building four artificial predictive systems which could classify B-NHL in up to nine of the most common clinico-pathological entities. Our best model shows an overall accuracy of 92.68%, a mean sensitivity of 88.54% and a mean specificity of 98.77%. Beyond the clinical applicability, our models demonstrate (i) the strong discriminatory power of MIB1 and Bcl2, whose integration in the predictive model significantly increased the performance of the algorithm; (ii) the potential usefulness of some non-canonical markers in categorizing B-NHL; and (iii) that FC markers should not be described as strictly positive or negative according to fixed thresholds, but they rather correlate with different B-NHL depending on their level of expression.

Analysis of vitamin D receptor expression and clinical correlations in patients with ovarian cancer.

OBJECTIVE: Although the antiproliferative and differentiating properties of vitamin D have been demonstrated, its effects on cancer cells are variable. Little is known about vitamin D receptor (VDR) levels in patients with ovarian cancer. In this population we sought to determine correlations between VDR expression, clinical parameters and treatment outcome. METHODS: We analyzed VDR content in platelets of healthy women and of a cohort of patients with ovarian tumors and we evaluated possible correlations with clinical parameters, tumor characterization (stage, histology, nuclear grading, ascites), response to therapy and survival. Moreover receptor expression was evaluated immunohistochemically on tissue samples. RESULTS: VDR levels were markedly lower in healthy women when compared with the pathological group. In the latter a significant increase in receptor expression was observed in malignancies compared with benign cases. No correlation existed between VDR expression and clinicopathological parameters, although we observed an advantage on survival if patients had a higher level of VDR expression in platelets. A cytoplasmic localization of the protein was observed by immunohistochemistry in ovarian cancer cells. CONCLUSIONS: Vitamin D receptor status measured in platelets differs significantly between healthy and pathological groups, increasing with malignancy, and there is a trend towards longer overall survival for tumors showing higher VDR levels. These data suggest that platelet VDR content could be used as a pathological marker. The meaning of this increased VDR expression in platelets needs further investigation and it is possibly linked to an inflammatory response.